Details

Autor(en) / Beteiligte

• Zhao, Peng
• Geng, Huan-Tong
• Cai, Qing-Sheng

Titel

A Novel Approch for Clustering of Chinese Text Based on Concept Hierarchy

Ist Teil von

• 2006 5th IEEE International Conference on Cognitive Informatics, 2006, Vol.1, p.607-611

Ort / Verlag

IEEE

Erscheinungsjahr

2006

Quelle

IEEE Xplore

Beschreibungen/Notizen

• After analyzing the disadvantages of traditional text clustering method based on keywords set, a novel approach for clustering of Chinese text based on concept hierarchy is presented. It introduces a Chinese topic classify dictionary as background knowledge to clustering of Chinese text. It adopts a hierarchical coding system which reflects concept relevance among different words and uses vector space model based on concept hierarchy to represent Chinese text. The experimental results show this approach is more effective than traditional text clustering method based on keywords set